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The article addresses the Cluster Head (CH) identification, based on the theory of linear-regression for Multi-input Multi-output (MIMO) technique in wireless sensor networks. The CH location is initially unknown while assuming a prior knowledge of absolute location of any three or four sensors. Thus, we will calculate the positions of the unknown sensors using distributed gradient descent due to its excellent localization accuracy. The network is assumed to have a cooperative communication among the clusters as well as multiple CHs. Mathematical analysis and simulations justifies our proposed approach along with comparison of previous literatures.
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